Robotic tactile perception of object properties: A review
Touch sensing can help robots understand their surrounding environment, and in particular
the objects they interact with. To this end, roboticists have, in the last few decades …
the objects they interact with. To this end, roboticists have, in the last few decades …
Survey of robotic manipulation studies intending practical applications in real environments-object recognition, soft robot hand, and challenge program and …
Aiming at accelerating the creation of new techniques on dexterous robotic manipulations,
this paper surveyed the recent results on object recognition, soft robotic hands, and …
this paper surveyed the recent results on object recognition, soft robotic hands, and …
Tactile object pose estimation from the first touch with geometric contact rendering
MB Villalonga, A Rodriguez, B Lim… - … on Robot Learning, 2021 - proceedings.mlr.press
In this paper, we present an approach to tactile pose estimation from the first touch for known
objects. First, we create an object-agnostic map from real tactile observations to contact …
objects. First, we create an object-agnostic map from real tactile observations to contact …
Tac2pose: Tactile object pose estimation from the first touch
In this paper, we present Tac2Pose, an object-specific approach to tactile pose estimation
from the first touch for known objects. Given the object geometry, we learn a tailored …
from the first touch for known objects. Given the object geometry, we learn a tailored …
Tactile pose estimation and policy learning for unknown object manipulation
Object pose estimation methods allow finding locations of objects in unstructured
environments. This is a highly desired skill for autonomous robot manipulation as robots …
environments. This is a highly desired skill for autonomous robot manipulation as robots …
Pose-and-shear-based tactile servoing
Tactile servoing is an important technique because it enables robots to manipulate objects
with precision and accuracy while adapting to changes in their environments in real-time …
with precision and accuracy while adapting to changes in their environments in real-time …
Visual-tactile multimodality for following deformable linear objects using reinforcement learning
Manipulation of deformable objects is a challenging task for a robot. It would be problematic
to use a single sensory input to track the behaviour of such objects: vision can be subjected …
to use a single sensory input to track the behaviour of such objects: vision can be subjected …
In-hand object pose estimation using covariance-based tactile to geometry matching
This letter presents a strategy to represent data from a tactile array sensor and match it to an
object's geometric features. Using that representation, a method is presented to localise a …
object's geometric features. Using that representation, a method is presented to localise a …
Multi-object grasping–estimating the number of objects in a robotic grasp
A human hand can grasp a desired number of objects at once from a pile based solely on
tactile sensing. To do so, a robot needs to make a grasp in a pile, sense the number of …
tactile sensing. To do so, a robot needs to make a grasp in a pile, sense the number of …
Deep gated multi-modal learning: In-hand object pose changes estimation using tactile and image data
T Anzai, K Takahashi - 2020 IEEE/RSJ International …, 2020 - ieeexplore.ieee.org
For in-hand manipulation, estimation of the object pose inside the hand is one of the
important functions to manipulate objects to the target pose. Since in-hand manipulation …
important functions to manipulate objects to the target pose. Since in-hand manipulation …